Association between tumor architecture derived from generalized Q-space MRI and survival in glioblastoma

While it is recognized that the overall resistance of glioblastoma to treatment may be related to intra-tumor patterns of structural heterogeneity, imaging methods to assess such patterns remain rudimentary. We utilized a generalized Q-space imaging (GQI) algorithm to analyze magnetic resonance imag...

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Veröffentlicht in:	Oncotarget 2017-06, Vol.8 (26), p.41815-41826
Hauptverfasser:	Taylor, Erik N, Ding, Yao, Zhu, Shan, Cheah, Eric, Alexander, Phillip, Lin, Leon, Aninwene, 2nd, George E, Hoffman, Matthew P, Mahajan, Anita, Mohamed, Abdallah S R, McDannold, Nathan, Fuller, Clifton D, Chen, Clark C, Gilbert, Richard J
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Animals Biomarkers, Tumor Brain - pathology Brain Neoplasms - diagnosis Brain Neoplasms - genetics Brain Neoplasms - mortality Disease Models, Animal Female Glioblastoma - diagnosis Glioblastoma - genetics Glioblastoma - mortality Humans Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Magnetic Resonance Imaging - methods Male Necrosis - pathology Priority Research Paper Prognosis Rats Reproducibility of Results
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Zusammenfassung:	While it is recognized that the overall resistance of glioblastoma to treatment may be related to intra-tumor patterns of structural heterogeneity, imaging methods to assess such patterns remain rudimentary. We utilized a generalized Q-space imaging (GQI) algorithm to analyze magnetic resonance imaging (MRI) derived from a rodent model of glioblastoma and 2 clinical datasets to correlate GQI, histology, and survival. In a rodent glioblastoma model, GQI demonstrated a poorly coherent core region, consisting of diffusion tracts
ISSN:	1949-2553 1949-2553
DOI:	10.18632/oncotarget.16296